Flashback Saturday: The demographics of happen to be work

The last census was there&rsquo 2 yrs ago and;s already been plenty of analysis of the outcomes of it. With regards to transport the census asks about Journeys to Work even though this is a fairly flawed metric due to it ignoring other trip generators like journeys to education – of the morning peak specifically &ndash a big component; it shows some interesting results still. As a result we understand that in Auckland the real amount of people commuting to work by car increased, nonetheless it has partially result from fewer people carpooling and much more importantly it had been eclipsed by the quantity commuting by PT. Add the strong growth in people using active there&rsquo and modes;s been the below shifts in modeshare.

PV = private vehicle

I just been considering Stats NZ a couple of days ago and found data giving a demographic breakdown of the results that is something I haven’t seen before and the full total email address details are fascinating. Specifically the outcomes that caught my attention probably the most were those by age and gender and how that had changed as time passes.

First up the full total amount of people who said they done Census day and you will clearly see out of this the aging of the baby boomer generation.

Unsurprisingly the amount of people driving an exclusive vehicle to work looks fairly like the graph above. What’s interesting are another private vehicle types of driving a ongoing company vehicle, driving a motorbike or scooter and being truly a passenger in a motor car.

Moving to public transport I’ve only shown train and bus below because ferries are contained in the Other category. What’s remarkable concerning the noticeable changes is that it so clearly shows that the growth in PT has been driven by younger generations. The question is what individuals in these younger age ranges will do after they strat to get older and having families etc. The noticeable changes in the older age ranges claim that the numbers using PT won’t fall off around they will have during the past that will have big implications for mode share later on.

I’ve also viewed the info for Wellington even though most categories have a reasonably similar profile to Auckland, one that stands out to be dramatically different is in train use. I suspect that as Auckland’s network matures it shall begin to look similar to Wellington’ s now does.

Next up will be the active modes of cycling and walking with two completely different trends. For walking its teenagers driving the noticeable change whereas for cycling it’s older generations making the shift.

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Lastly;s another – that is apt to be ferries &ndash primarily; and the ones who worked from your home. The latter is primarily comprised of people who reside in rural areas and the wealthier coastal areas places within the urban area.

Overall there are a few very interesting changes happening with how exactly we travel and the ones are occurring in non-car modes primarily. If younger generations always keep the existing trends up it&rsquo then; s more likely to have big implications for how people enter the near future around. The relevant question is whether what we’ re building will probably support that noticeable change or hinder it.

The other little bit of demographic information available is mode usage predicated on gender. Unlike age the gender split over each mode doesn’t appear to be changing much as time passes but what the info does highlight is that there surely is a great deal of variance between your two predicated on which mode is viewed. Overall 54% of these who said these were working are men versus 46% women.

In the graph here are the total amounts of each gender for every mode – apart from Driving an exclusive Car as it’s so large it really is created by it difficult to start to see the other results. First thing you see is how over represented men come in driving a ongoing company vehicle. This is actually the case for riding motorbike or cycling also. In another modes more women than men will tend to be a motor car passenger, use PT, walk or home based.

To highlight the amount of over or under representation the graph below shows this for females (the contrary can obviously bee seen for males). Of the the quickest and easiest I believe that people could change will be cycling also to do that it is crucial we make our roads safer through much larger usage of cycle infrastructure.

If anyone really wants to consider this deeper this info is available by local board level which I&rsquo also;m sure would show some interesting results between various areas of Auckland.